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我开始预测名为“房价：高级回归技术”的初学者 kaggle 比赛。我的线性回归工作正常。直到岭回归给出了这个错误。

Error in enet(x = as.matrix(trainPredictors), y = trainClasses, lambda = 1e-04) : Some of the columns of x have zero variance

我更喜欢清理后的数据称为 complete_data5.Rdata。代码可以在 model_ridge.r 中找到。文件可以在这里找到：https ://github.com/kennethng2017/HousingPrice

ridgeModel <- enet(x = as.matrix(trainPredictors), y = trainClasses, lambda = 0.0001) Error in enet(x = as.matrix(trainPredictors), y = trainClasses, lambda = 1e-04) : Some of the columns of x have zero variance

trainPredictors 具有虚拟变量。

会话信息

 sessionInfo()
 R version 3.3.3 (2017-03-06)
 Platform: x86_64-apple-darwin13.4.0 (64-bit)
 Running under: macOS Sierra 10.12.4

 locale:
 [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base     

 other attached packages:
 [1] reshape2_1.4.2  corrplot_0.77   dplyr_0.5.0     elasticnet_1.1 
 [5] lars_1.2        Metrics_0.1.2   doSNOW_1.0.14   snow_0.4-2     
 [9] iterators_1.0.8 foreach_1.4.3   caret_6.0-73    ggplot2_2.2.1  
 [13] lattice_0.20-34

 loaded via a namespace (and not attached):
 [1] Rcpp_0.12.10       compiler_3.3.3     nloptr_1.0.4           plyr_1.8.4        
 [5] tools_3.3.3        lme4_1.1-12        tibble_1.3.0       nlme_3.1-131      
 [9] gtable_0.2.0       mgcv_1.8-17        Matrix_1.2-8           DBI_0.6-1         
 [13] parallel_3.3.3     SparseM_1.76       stringr_1.2.0           MatrixModels_0.4-1
 [17] stats4_3.3.3       grid_3.3.3         nnet_7.3-12        R6_2.2.0          
 [21] minqa_1.2.4        car_2.1-4          magrittr_1.5       scales_0.4.1      
 [25] codetools_0.2-15   ModelMetrics_1.1.0 MASS_7.3-45        splines_3.3.3     
 [29] assertthat_0.2.0   pbkrtest_0.4-7     colorspace_1.3-2     labeling_0.3      
 [33] quantreg_5.29      stringi_1.1.5      lazyeval_0.2.0     munsell_0.4.3

请随时提出任何问题。

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